SearchUnify is an enterprise agentic platform designed to revolutionize information discovery and elevate both self-service and customer support experiences. It achieves this through a suite of Agentic AI-powered products:
- Cognitive Search: Combines machine learning (ML), generative AI (GenAI), and natural language processing (NLP) to understand user intent and deliver highly relevant, personalized search results.
- SUVA (SearchUnify Virtual Assistant): The world's first federated, information retrieval augmented chatbot, providing fine-tuned, contextual, and intent-driven conversational experiences at scale.
- Knowbler: The world's first knowledge-centered customer service software, empowering agents and streamlining knowledge management processes.
- Agent Helper: An ML-powered solution that augments agent productivity and provides AI-driven case analysis.
- Community Helper: An AI-powered application that fosters personalized, engaging communities and reduces moderation effort.
SearchUnify integrates leading large language models (LLMs) across its product suite and uses a retrieval augmented generation (FRAG™) architecture to deliver accurate and contextually appropriate support. This allows businesses to:
- Solve customer queries faster: Providing agents and customers with the right information at the right time.
- Predict case escalations: Proactively identifying potential issues and preventing escalations.
- Drive knowledge-centered service: Empowering agents with the knowledge they need to deliver exceptional support.
- Improve First Contact Resolution (FCR) and Support ROI: Streamlining support processes and reducing costs.
- Boost self-service success and community engagement: Enabling customers to find answers and connect with each other.
- Increase employee productivity: Improving knowledge discovery and findability.
Leading companies like Rubrik, Flexera, Databricks, Automation Anywhere, and Cornerstone OnDemand rely on SearchUnify to transform their support operations and deliver exceptional customer experiences.
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